Financial crisis influence on the BUX index of Hungarian stock exchange. Long memory measures: 1991-2008
AbstractWe analyze daily quotes of the BUX index, main index of the Budapest stock exchange, for period 2nd Jan. 1991–30th Sept. 2008, checking nonstationarity of series, stationarity of returns, applying the ARCH tests to the series. This period was not without its perils for the Hungarian economy. We check presence of long memory of the series with use of classification based on the Hurst index and fractional integration parameter estimates. We analyze sample ACF and PACF functions and fractional integration estimates also for squared returns of the index. Volatility of returns and squared returns increases towards the end of sample, in agreement with the fact of risk growth due to the global crisis. In last part of sample the series of returns was antipersistent, changing sign more often, and the series was more volatile. Graphs of spectrum for the series show different behavior of logarithmic returns (more volatile towards the end of sample) and similar for squared returns throughout the sample.Length: 21 pages
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Bibliographic InfoPaper provided by Department of Applied Econometrics, Warsaw School of Economics in its series Working Papers with number 46.
Date of creation: 23 Sep 2010
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unit root; nonstationarity; spectral analysis; long memory; random walk; fractional integration; stock exchange index; volatility; risk;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G19 - Financial Economics - - General Financial Markets - - - Other
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-10-02 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Clifford M. Hurvich & Bonnie K. Ray, 2003. "The Local Whittle Estimator of Long-Memory Stochastic Volatility," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 1(3), pages 445-470.
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